Alternatives and similar repositories for 2016Bytecup

Users that are interested in 2016Bytecup are comparing it to the libraries listed below

• charleshm / deep-ctr
  ☆91Updated 7 years ago
• qqgeogor / bytecup_solution
  ☆37Updated 8 years ago
• LRegan666 / Tree_Deep_Model
  Deep neural network model based on the tree
  ☆48Updated 6 years ago
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 4 years ago
• andrew-zzz / tree-based-deep-model
  it's the realization of Tree-based Deep Model with tensorflow
  ☆32Updated 5 years ago
• wangzhegeek / item-userCF
  item&&userCF
  ☆9Updated 5 years ago
• QingqingSUN / YoutubeNet
  recommendation system with Youtube Deep Net
  ☆84Updated 6 years ago
• Tristan-Chow / Recommendation-System-based-on-TensorFlow
  Neural candidates generation network based on Youtube reommender paper
  ☆21Updated 6 years ago
• ouwenjie03 / tencent-ad-game
  第二届腾讯广告算法大赛（Rank 9） http://algo.tpai.qq.com/home/rankinglist/rankingList
  ☆106Updated 6 years ago
• Lapis-Hong / FM
  using FM latent vectors as embedding features
  ☆14Updated 7 years ago
• CastellanZhang / lambdaFM
  Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…
  ☆110Updated 3 years ago
• jxyyjm / tensorflow_test
  ☆43Updated 5 years ago
• aimetrics / jarvis
  Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…
  ☆37Updated 4 years ago
• outstandingcandy / dssm
  Deep structured semantic model
  ☆32Updated 9 years ago
• shenweichen / IJCAI_2018_Competition_baseline
  IJCAI2018阿里妈妈搜索广告转化率预估baseline LB 0.0831
  ☆87Updated 7 years ago
• lemon234071 / 2018-
  qq2018spa
  ☆38Updated 6 years ago
• waylensu / DeepFFM
  ☆27Updated 7 years ago
• yangxudong / papers
  算法相关的各种论文和slides
  ☆42Updated 6 years ago
• gccrpm / deep_learning-1
  Basic Deep Learning
  ☆36Updated 6 years ago
• Songbo729066989 / tencent_ad_ffm_baseline
  ☆31Updated 7 years ago
• keyunluo / Tencent2018_Lookalike_Rank10th
  2018年腾讯广告算法大赛Rank10代码：深度部分
  ☆68Updated 6 years ago
• chenlongzhen / wide-and-deep
  ☆18Updated 7 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 7 years ago
• wangkobe88 / Earth
  ☆27Updated 7 years ago
• CastellanZhang / alphaFM_softmax
  Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.
  ☆70Updated 3 years ago
• LightR0 / Tencent_Ads_2018
  ☆51Updated 7 years ago
• hxyue / hub-recsys
  A python library contain classic algorithms and deep models on recommender system
  ☆46Updated 5 years ago
• shenweichen / Tencent_Social_Ads2017_Mobile_App_pCVR
  Tencent Social Ads 2017 contest rank 20
  ☆158Updated 7 years ago
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 years ago
• AbnerYang / 2016CCF-SouGou
  CCF2016 - TNT_000二等奖作品
  ☆87Updated 8 years ago